CompanyAnthropic8 recent entries5 Aug 2026Anyone interested in building a harness-only benchmark?There are a lot of LLM benchmarks but few, if any, harness benchmarks. I am thinking this would be a really good community project to build one. End goal: a leaderboard of harness performance (multipl→13 Aug 2026GitHub - deepseek-ai/deepseek-harness🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license. 🔹 Powered by the Co→
CompanyOpenAI8 recent entries30 Jul 2026P.A.I. — Sleek Native Desktop AI Overlayer for Local Ollama Models 🤖⚡Greetings Community! 👋 I hope everyone is doing well! I'm Tauhid — Senior EEE student from a Bangladeshi University Today I'd like to share an open-source project I’ve been developing called P.A.I. (P→31 Jul 2026Open Source Ternary LLM Engine in Rust/CUDA for Quantization, Serving, and Training of models on consumer GPUs, called Tritium (Apache 2.0)This post was not written by a clanker. Hey guys, I'm a comp sci major who wanted to introduce a cool project I built for quantizing models to ternary (1.58 bit) with as minimal of loss as possible, a→5 Aug 2026The Google Bug Hunters Team admitted to me that they cannot fundamentally patch prompt engineering bypasses in GeminiHello everyone Yesterday I gave a report on Gemini bugs and the techniques I learned on Gemini so far with the Engineering Prompt and interestingly today I got a very interesting and controversial ans→22 Aug 2026I built an open-source roguelike specifically for training game-playing agents [P]Hey everyone! I wanted to share something I’ve been working on. I was inspired by projects from DeepMind and OpenAI, but noticed that most games are prohibitively difficult to integrate with an agent →28 Aug 2026Self-hosted agent + BI platform that runs fully local, Ollama or vLLM for both chat and embeddingsBeen building AgentSwarms for a while. Agent platform with RAG, multi-agent workflows and a BI layer over your own data. Posting here because the whole thing runs without a single hosted API if you wa→19 Sept 2026Training a Neural Network on AMD MI50s Using Vulkan: Proof of ConceptOr: Why I Stopped Listening and Just Did ItNote: This writeup was put together with the help of AI. So I've got dual AMD MI50 32GB cards. If you know these cards, you know the story - AMD dropped official ROCm support for gfx906 after ROCm 5.7→20 Sept 2026An Open Letter to OpenAI: Please Don’t Eliminate Custom GPTs Until You Have a REAL ReplacementOpenAI’s decision to retire custom GPTs appears to rest on the assumption that Plugins, Skills, Projects, Apps, and Workspace Agents collectively replace their functionality. For many Small and Medium→8 Oct 2026chatgpt's new intelligent ui was reverse engineered in less than 24 hours, and apparently you can recreate it with local llmscame across a pretty interesting technical breakdown of chatgpt's newly launched 'intelligent ui' feature, and thought this subreddit might find it interesting. for anyone unfamiliar with the concept,
CompanyGoogle4 recent entries5 Aug 2026The Google Bug Hunters Team admitted to me that they cannot fundamentally patch prompt engineering bypasses in GeminiHello everyone Yesterday I gave a report on Gemini bugs and the techniques I learned on Gemini so far with the Engineering Prompt and interestingly today I got a very interesting and controversial ans→22 Aug 2026I built an open-source roguelike specifically for training game-playing agents [P]Hey everyone! I wanted to share something I’ve been working on. I was inspired by projects from DeepMind and OpenAI, but noticed that most games are prohibitively difficult to integrate with an agent →21 Sept 2026Jev's calibration was measured. The LLMs won [D]Source: Jev Benchmarks Its training method is literally called 'Reinforcement Learning for Calibrated Decisions.' Calibration gap vs human labels (lower = better): Yes/no: Jev 5.0, Gemini 3.8 Flash 2.→8 Oct 2026GPU - Vulkan llama.cpp benchmarks sorted by price to performanceThis table to help anyone looking to build a budget Data Center homelab. I copied the bulk of value based, mid level, decent speed results GPUs and feed it to AI or SI and here are the recommended res
CompanyMeta8 recent entries6 Sept 2026[Model] Support for Spark2_5ForCausalLM implementation by KnightYao · Pull Request #27868 · ggml-org/llama.cpphttps://huggingface.co/XHToken/Spark-X2.5-4B-GGUF https://huggingface.co/XHToken/Spark-X2.5-1.7B-GGUF from XHToken: We are introducing Spark-X2.5-4B and Spark-X2.5-1.7B, two compact, general-purpose l→17 Sept 2026XingChen-AGI/Xing4.0-29B-A4B MoEI find another new model at HF: https://huggingface.co/XingChen-AGI/Xing4.0-29B-A4B 'Xing4.0-29B-A4B is a next-generation large language model in the Xing series (formerly TeleChat), developed by Chin→19 Sept 2026Can conference review infrastructure keep up with the increasing volume of NON-SLOP research due to agentic tools? [D]AI tools have given us a lot of slop research, but I'm not talking about that. I'm talking about real productivity acceleration due to AI tools (E.g. iterating ideas that would've taken multiple days →30 Sept 2026Update: Strix Halo + R9700 with llama-halo-hybrid - now beats DGX SparkHi folks, I've spent the last couple of months experimenting with Strix Halo and previously I released a proof of concept I called llama-halo-hybrid. I've continued updating it and it now performs ver→8 Oct 2026GPU - Vulkan llama.cpp benchmarks sorted by price to performanceThis table to help anyone looking to build a budget Data Center homelab. I copied the bulk of value based, mid level, decent speed results GPUs and feed it to AI or SI and here are the recommended res→8 Oct 2026chatgpt's new intelligent ui was reverse engineered in less than 24 hours, and apparently you can recreate it with local llmscame across a pretty interesting technical breakdown of chatgpt's newly launched 'intelligent ui' feature, and thought this subreddit might find it interesting. for anyone unfamiliar with the concept,→12 Oct 2026openbmb/MiniCPM-V-4.7-35B-A3Bgguf's: https://huggingface.co/openbmb/MiniCPM-V-4.7-35B-A3B-gguf 'MiniCPM-V 4.7 is the latest model in the MiniCPM-V series, available in a 35B-A3B variant, with 35B-A3B being the first MoE model in →12 Oct 2026openbmb/MiniCPM-V-4.7-1BGguf's: https://huggingface.co/openbmb/MiniCPM-V-4.7-1B-gguf 'MiniCPM-V 4.7 is the latest model in the MiniCPM-V series, available in a 1B variant. It builds on the family's single-image, multi-image,
CompanyMistral2 recent entries14 Jul 2026Kimi K3 in the next few hours. Deepseek V4 GA later in the week. New Liquid models. New Mistral models sometime this month. And some rumours suggest GLM 5.5 is coming in August. Openweight AI is eating good.dam bois we eating good this week ngl, The velocity of the open_weight ecosystem right now is hitting a point where proprietary, closed-source APIs are losing their leverage on compute intelligence. W→6 Aug 2026nvidia/NVIDIA-Nemotron-Parse-2.0 · Hugging FaceNVIDIA Nemotron Parse 2.0 transforms document images into structured, machine-readable representations with text, layout classes, bounding boxes, and reading-order information. Given a Red, Green, Blu
CompanyDeepSeek8 recent entries8 Aug 2026Building a budget 32GB → 48GB VRAM home AI server: 2-3x RX 9060 XT 16GB vs RTX 5060 Ti 16GB, AM5 vs used EPYC?I’m planning a dedicated home AI server, mainly for local LLM inference, agents/tool use, Docker services, and eventually larger MoE models with CPU offload. My plan is to start with 2x 16GB GPUs = 32→13 Aug 2026GitHub - deepseek-ai/deepseek-harness🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license. 🔹 Powered by the Co→17 Aug 2026DeepSeek V4 Flash with Antirez Dwarfstar 4 is amazing.Note: I use a Mac Studio M3U with 512 GB RAM, so this is not for everyone. I have been using antirez/ds4 with DS4 Flash for a few weeks now. Top quality, I am really impressed. This combination just d→23 Aug 202628 TPS on Qwen2.5-7B across two separate cloud regions over public WAN using speculative decoding + CUDA Graphs [P]been building ShardFlow for the past few months, a distributed LLM inference framework that splits any HuggingFace transformer across N GPU machines and uses neural speculative decoding to deal with W→26 Aug 20262x Strix Halo speed-up with an R9700Forgive the typos and rambling - human actually wrote this post 😂 I've had a Strix Halo board for about a year and been playing around with it for various projects when it's not just being a beefy lin→11 Sept 2026Spomin - Live KV cache compaction (Experimental for Qwen)I’ve been building 'Spomin', a router that replaces context with summaries directly in the KV cache. The goal is to keep long running sessions going without repeatedly stopping for full compaction and→17 Sept 2026Intel releases OpenVINO 2026.4UPDATE https://github.com/ggml-org/llama.cpp/pull/29009 MERGED More Gen AI coverage and frameworks integrations to minimize code changes New models supported: On CPU: Gemma-3n On CPU, GPU: Kokoro-82M,→21 Sept 2026Jev's calibration was measured. The LLMs won [D]Source: Jev Benchmarks Its training method is literally called 'Reinforcement Learning for Calibrated Decisions.' Calibration gap vs human labels (lower = better): Yes/no: Jev 5.0, Gemini 3.8 Flash 2.
CompanyNVIDIA8 recent entries2 Sept 2026VoxGen, an AMD-optimized TTS inference engine for VoxCPM 2 modelsHi, everyone, I’ve just released VoxGen, a lightweight native inference engine for VoxCPM2, written in Rust and using Vulkan compute instead of Python/PyTorch/CUDA. Why VoxGen? The main reason I start→6 Sept 2026[Model] Support for Spark2_5ForCausalLM implementation by KnightYao · Pull Request #27868 · ggml-org/llama.cpphttps://huggingface.co/XHToken/Spark-X2.5-4B-GGUF https://huggingface.co/XHToken/Spark-X2.5-1.7B-GGUF from XHToken: We are introducing Spark-X2.5-4B and Spark-X2.5-1.7B, two compact, general-purpose l→11 Sept 2026This is why we need open-source harnesses + local modelsi've been thinking about this more after trying different agent setups. the model isn't the only thing that determines how well an agent performs. The harness around the model matters a lot too. With →19 Sept 2026Training a Neural Network on AMD MI50s Using Vulkan: Proof of ConceptOr: Why I Stopped Listening and Just Did ItNote: This writeup was put together with the help of AI. So I've got dual AMD MI50 32GB cards. If you know these cards, you know the story - AMD dropped official ROCm support for gfx906 after ROCm 5.7→6 Oct 2026AFP-GIC: Controllable Generative Image Compression [R]Hi ML Community, I am excited to share our latest framework, AFP-GIC, officially published in IEEE Access (2026). We have released the deployment codebase and hosted an interactive visual playground. →7 Oct 2026Porting LIBERO to MuJoCo Warp: 130 robot manipulation tasks on one $700 AMD GPULIBERO is a robot manipulation benchmark: 130 tasks across five suites (spatial, object, goal, scene10, scene90), each with human demos and a language goal. It is the standard testbed for language-con→8 Oct 2026Java vllm-like framework claims 90% of perfomance of llama.cpp on local inference on NVIDIA GPUs by compiling Java to CUDA and cuTileTornadoVM: The Java to CUDA engine: https://github.com/beehive-lab/TornadoVM jitLLM: The inference engine: https://github.com/beehive-lab/jitllm Deep dive talk: https://www.youtube.com/watch?v=HO5CpET→8 Oct 2026GPU - Vulkan llama.cpp benchmarks sorted by price to performanceThis table to help anyone looking to build a budget Data Center homelab. I copied the bulk of value based, mid level, decent speed results GPUs and feed it to AI or SI and here are the recommended res